# BetterTouchTool MCP Server

> Use this tool when you need to integrate AI assistants with BetterTouchTool on macOS to automate tasks, manage workflows, and access system information through natural language commands. It enables AI agents to control and interact with BetterTouchTool, solving problems related to workflow automation and system integration. The tool accepts natural language inputs and outputs responses and actions, making it ideal for use cases that require seamless interaction between AI assistants and macOS systems.

Canonical page: https://skillsregistry.net/skills/homelab-admin-bettertouchtool-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/homelab-admin-bettertouchtool-mcp-server

## Description

Enables AI assistants to control and interact with BetterTouchTool on macOS, allowing users to query configurations, execute triggers and actions, manage variables and widgets, control presets, and access clipboard contents through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q52kf668g2)
- **Repository:** <https://github.com/homelab-admin/bettertouchtool-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "homelab-admin-bettertouchtool-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/homelab-admin-bettertouchtool-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/homelab-admin-bettertouchtool-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt